API cost decision in 10 seconds

GPT-5.4 Nano vs DeepSeek V3.2 Speciale

Pick DeepSeek V3.2 Speciale for lower cost; pick GPT-5.4 Nano only if the larger context window matters more.

Page updated:  Data confirmed:  Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick DeepSeek V3.2 Speciale for lower cost; pick GPT-5.4 Nano only if the larger context window matters more.

On the standard 1M input plus 500K output workload, DeepSeek V3.2 Speciale is estimated at $0.5 vs $0.82 for GPT-5.4 Nano, saving $0.32 (39.1% lower).

Cost-first pickDeepSeek V3.2 Speciale
Context-first pickGPT-5.4 Nano
Sample savings$0.3239.1%
10x traffic gap$3.23

GPT-5.4 Nano has more context, but DeepSeek V3.2 Speciale saves $0.32 on the standard workload. At 10x that traffic, the same price gap is about $3.23. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Cost winner changes by workload shape: input-heavy / RAG favors GPT-5.4 Nano, balanced workload favors DeepSeek V3.2 Speciale, and output-heavy chatbot favors DeepSeek V3.2 Speciale.

Workload shapeToken mixBetter pickGPT-5.4 NanoDeepSeek V3.2 Speciale
Input-heavy / RAG5M input + 500K outputGPT-5.4 Nano$1.62$1.65
Balanced workload1M input + 1M outputDeepSeek V3.2 Speciale$1.45$0.72
Output-heavy chatbot1M input + 5M outputDeepSeek V3.2 Speciale$6.45$2.44
Cheaper input GPT-5.4 Nano $0.2 vs $0.287 / 1M

GPT-5.4 Nano is $0.09 cheaper per 1M input tokens (30.3% lower; 1.43x difference).

Cheaper output DeepSeek V3.2 Speciale $1.25 vs $0.431 / 1M

DeepSeek V3.2 Speciale is $0.82 cheaper per 1M output tokens (65.5% lower; 2.9x difference).

Larger context GPT-5.4 Nano 400K vs 163.84K

GPT-5.4 Nano has 236.16K more context (2.44x larger).

Sample workload DeepSeek V3.2 Speciale $0.82 vs $0.5

DeepSeek V3.2 Speciale is $0.32 cheaper on the standard workload (39.1% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
GPT-5.4 Nano Calculating… Estimated API cost
DeepSeek V3.2 Speciale Calculating… Estimated API cost
Cheaper for this workload Calculating… Difference: calculating…

This estimate uses normalized public API pricing per 1M tokens. It is a planning aid, not a billing quote. Verify provider pricing, limits, and terms before production use.

Quick Decision

Verdict

GPT-5.4 Nano has the lower input price; DeepSeek V3.2 Speciale has the lower output price; GPT-5.4 Nano offers the larger context window. For the 1M input plus 500K output sample, DeepSeek V3.2 Speciale is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.82 for GPT-5.4 Nano and $0.5 for DeepSeek V3.2 Speciale.

Best Fit

Choose GPT-5.4 Nano when you care most about lower input-token price, and larger context window.

Choose DeepSeek V3.2 Speciale when you care most about lower output-token price.

Decision Notes
  • On the standard 1M input plus 500K output workload, DeepSeek V3.2 Speciale is estimated at $0.5 vs $0.82 for GPT-5.4 Nano, saving $0.32 (39.1% lower).
  • DeepSeek V3.2 Speciale is $0.32 cheaper on the standard workload (39.1% lower).
  • GPT-5.4 Nano is $0.09 cheaper per 1M input tokens (30.3% lower; 1.43x difference).
  • DeepSeek V3.2 Speciale is $0.82 cheaper per 1M output tokens (65.5% lower; 2.9x difference).
  • GPT-5.4 Nano has 236.16K more context (2.44x larger).
Head-to-Head Specs
FeatureGPT-5.4 Nano
(OpenAI)
DeepSeek V3.2 Speciale
(DeepSeek)
Input Price
prompt tokens per 1M
$0.2$0.287
Completion Price
per 1M tokens
$1.25$0.431
Sample Workload Cost
1M input + 500K output
$0.82$0.5
Context Window400K163.84K
Release Date

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionDeepSeek V3.2 SpecialeOn the standard 1M input plus 500K output workload, DeepSeek V3.2 Speciale is estimated at $0.5 vs $0.82 for GPT-5.4 Nano, saving $0.32 (39.1% lower).
High-volume input processingGPT-5.4 NanoLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsDeepSeek V3.2 SpecialeLower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workGPT-5.4 NanoA larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps
  • gpt-oss-120b (free) can replace GPT-5.4 Nano when lower sample workload cost matters most: $0.
  • gpt-oss-20b (free) can replace GPT-5.4 Nano when lower sample workload cost matters most: $0.
  • gpt-oss-20b can replace GPT-5.4 Nano when lower sample workload cost matters most: $0.1.
  • gpt-oss-120b can replace GPT-5.4 Nano when lower sample workload cost matters most: $0.13.
Larger context near this budget

Cheaper alternatives

Review low-cost models sorted by a standard 1M input plus 500K output workload.

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Larger context alternatives

Find models with larger context windows for RAG, long documents, and codebase review.

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Provider catalogs

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OpenAI catalog

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DeepSeek catalog

Check other DeepSeek models with comparable pricing, context, or release timing.

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GPT-5.4 Nano

GPT-5.4 nano is the most lightweight and cost-efficient variant of the GPT-5.4 family, optimized for speed-critical and high-volume tasks. It supports text and image inputs and is designed for low-latency...

DeepSeek V3.2 Speciale

DeepSeek-V3.2-Speciale is a high-compute variant of DeepSeek-V3.2 optimized for maximum reasoning and agentic performance. It builds on DeepSeek Sparse Attention (DSA) for efficient long-context processing, then scales post-training reinforcement learning...